BW #67: Electric cars
Get better with: CSV, pivot tables, window functions, the "pipe" method, stack and unstack, grouping, and formatting.
Using Pandas groupby to split data into groups, apply aggregate functions, and combine results for powerful data summarization.
Get better with: CSV, pivot tables, window functions, the "pipe" method, stack and unstack, grouping, and formatting.
Get better with: CSV files, dates and times, plotting, grouping, and string operations
Get better with: CSV files, dates and times, plotting, grouping, and string operations
Get better at: Excel, memory optimization, PyArrow, grouping, regular expressions, strings, plotting, and pivot tables
Get better at: Excel, memory optimization, PyArrow, grouping, regular expressions, strings, plotting, and pivot tables
Get better at: Excel, cleaning, string manipulation, grouping, regular expressions, pivot tables, dates and times, plotting, and window functions.
Get better at: Excel, cleaning, string manipulation, grouping, regular expressions, pivot tables, dates and times, plotting, and window functions.
Get better at: Excel, missing values, multi-index, regular expressions, web scraping, string operations, plotting, and grouping
Get better at: Excel, missing values, multi-index, regular expressions, web scraping, string operations, plotting, and grouping
Get better at: CSV, dates and times, multi-indexes, plotting, filtering, and grouping
Get better at: CSV, dates and times, multi-indexes, plotting, filtering, and grouping
Get better at: CSV files, grouping, stack and unstack, window functions, and plotting